/Django-Celery

Primary LanguagePython

Django-Celery Machine Test

Introduction

Here we Integrate the Celery (a task queue) with Django application. Here we use the Redis as Messagebroker, along with celery-results to store the task data to Database. so that a task to generate random csv file is performed by the Celery outside the django request-response cycle.

Prerequisites

Your local machine must have following packages installed:

    * Python
    * Redis

Installation

  • clone the repository:
  • Create and setup virtual environment
  • run the following command in root-folder
pip install -r requirements.txt
python manage.py createsuperuser
python manage.py makemigrations
python manage.py migrate
python manage.py runserver
  • This project is fully based on celery and django. So, the necessary modules installed are:
    * django==4.1.5
    * redis==4.4.2
    * django-celery-results==2.4.0
  • activate the celery worker by running command, since the celery default prefork process have compactibility issue with windows.
celery -A django_celery.celery worker --pool=solo -l info
  • else we can run the default run command
celery -A django_celery worker -l info

Testing

  • Trigger the Celery Task by providing the name of random-csv file and row count on the addressbar
 http://127.0.0.1:8000/<filename>/<row_count>

 eg: http://127.0.0.1:8000/firstdata/60
  • log into the django admin to see the celery-task-result log. result info